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An HTML5 recreation of the Boardroom Scene in Disney's Tron: Legacy. It currently displays realtime data from GitHub and Wikipedia to make it a bit more fun. View it in action at https://www.robscanlon.com/encom-boardroom/ . While I attempted to stay true to the film, it simply wasn't practical to recreate every element that is portrayed in the scene. The graphics displayed in the film contain a remarkable amount of detail despite only being visible for a couple of seconds. I am in awe of those that put it together.

Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application.

The Encom Globe is a WebGL-based clone of the globe from the boardroom scene in Tron: Legacy. If you don't recall that scene, check out Bradley Munkowitz's excellent writeup about its production for more information. This version attempts to stay as true to the in-movie original as possible while maintaining a high frame rate on low powered machines and devices. It is getting pretty close to acheiving that goal and mimics most of the details seen on screen, including the loading animations for the globe hexagon particles, the satellites, and the markers.

First, create the list of vertices that will define the line. MeshLine accepts THREE.Geometry (looking up the .vertices in it) and Array/Float32Array. THREE.BufferGeometry coming soon, and may be others like Array of THREE.Vector3. Once you have that, you can create a new MeshLine, and call .setGeometry() passing the vertices.

Please use it only for review and test purposes. Don't hesitate to add issues or open a conversation about design decisions. Most of the shaders are from https://github.com/evanw/glfx.js. Others are from different sources and forums, papers, or my own.

This JavaScript library detects and tracks the face in real time from the webcam video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third party library. We want to keep it framework agnostic so the outputs of the library are raw: if the a face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement...). We continuously add new demontrations, so stay tuned ! Also, feel free to open an issue if you have any question or suggestion.

react-planner is a React component which can be used to draw model buildings. Drag & drop from a catalog of customizable and ready-to-use objects, you can start from 2D wireframes and land on 3D models. As a developer you can provide your users with new objects by adding them to the catalog.

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

With this library, you can build your own animoji embedded in Javascript/WebGL applications. You do not need any specific device except a standard webcam. By default a webcam feedback image is displayed with the face detection frame. The face detection is quite robust to all lighting conditions, but the evaluation of expression can be noisy if the lighting is too directional, too weak or if there is an important backlight. So the webcam feedback image is useful to see the quality of the input video feed.

This is in early beta stages, don't expect it to work reliably across versions yet. I'm looking for collaborators and beta testers, so please post an issue if you find any problems or want to help out with this project in some way. canvas-sketch is a loose collection of tools, modules and resources for creating generative art in JavaScript and the browser.

The widgets are easy to use and render directly in RStudio, in R markdown, in Shiny applications, and from command-line R via a web browser. They produce high-quality interactive visualizations with just a few lines of R code.Visualizations optionally use accelerated WebGL graphics, falling back to non-accelerated graphics for systems without WebGL when possible.